update code

.ipynb_checkpoints/app-checkpoint.py

@@ -5,7 +5,7 @@ from utils import *
 st.title("Text Classification for Service Feedback")
 
 ########## Create Input field ##########
-feedback = st.text_input('Type your text here', 'The staff were extremely polite and helpful!')
+feedback = st.text_input('Type your text here', 'The website was user friendly and the agent provided good solutions')
 
 if st.button('Click for predictions!'):
     with st.spinner('Generating predictions...'):
@@ -14,9 +14,11 @@ if st.button('Click for predictions!'):
     
     st.success(f'Your text has been predicted to fall under the following topics: {result[:-1]}. The sentiment of this text is {result[-1]}.')
 
+st.text("")    
 st.text("")
 st.subheader('Or... Upload a csv file if you have many texts')
 st.text("")
+st.text("")
 
 uploaded_file = st.file_uploader("Please upload a csv file with only 1 column of texts.")
 

.ipynb_checkpoints/utils-checkpoint.py

@@ -94,6 +94,6 @@ def get_multiple_predictions(csv):
     
     # Append invalid rows
     if len(invalid) == 0:
-        return final_results.to_csv().encode('utf-8')
+        return final_results.to_csv(index=False).encode('utf-8')
     else:
-        return pd.concat([final_results, invalid]).reset_index(drop=True).to_csv().encode('utf-8')
+        return pd.concat([final_results, invalid]).reset_index(drop=True).to_csv(index=False).encode('utf-8')

app.py

@@ -5,7 +5,7 @@ from utils import *
 st.title("Text Classification for Service Feedback")
 
 ########## Create Input field ##########
-feedback = st.text_input('Type your text here', 'The staff were extremely polite and helpful!')
+feedback = st.text_input('Type your text here', 'The website was user friendly and the agent provided good solutions')
 
 if st.button('Click for predictions!'):
     with st.spinner('Generating predictions...'):
@@ -14,9 +14,11 @@ if st.button('Click for predictions!'):
     
     st.success(f'Your text has been predicted to fall under the following topics: {result[:-1]}. The sentiment of this text is {result[-1]}.')
 
+st.text("")    
 st.text("")
 st.subheader('Or... Upload a csv file if you have many texts')
 st.text("")
+st.text("")
 
 uploaded_file = st.file_uploader("Please upload a csv file with only 1 column of texts.")
 

utils.py

@@ -94,6 +94,6 @@ def get_multiple_predictions(csv):
     
     # Append invalid rows
     if len(invalid) == 0:
-        return final_results.to_csv().encode('utf-8')
+        return final_results.to_csv(index=False).encode('utf-8')
     else:
-        return pd.concat([final_results, invalid]).reset_index(drop=True).to_csv().encode('utf-8')
+        return pd.concat([final_results, invalid]).reset_index(drop=True).to_csv(index=False).encode('utf-8')